IEEE Sensors Journal最新文献_第2页

Two-Phase Flow Holdup Meter Using a Double-FBG Viscous Force Sensor

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-17 DOI: 10.1109/JSEN.2025.3533202

Tianxi Zhang;Haozhe Ji;Minghui He;Ruohui Wang;Dan Su;Xueguang Qiao

引用次数: 0

Heterostructured NO₂ Gas Sensors Using Decorated p-Type Reduced Graphene Oxide Nanoparticles on Surface Modified n-Type ZnO Nanorods

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-17 DOI: 10.1109/JSEN.2025.3538865

Mu-Min Tsai;Ching-Ting Lee;Mu-Ju Wu;Ting-Chun Chang;Yi-Feng Tung;Hsin-Ying Lee

{"title":"Heterostructured NO₂ Gas Sensors Using Decorated p-Type Reduced Graphene Oxide Nanoparticles on Surface Modified n-Type ZnO Nanorods","authors":"Mu-Min Tsai;Ching-Ting Lee;Mu-Ju Wu;Ting-Chun Chang;Yi-Feng Tung;Hsin-Ying Lee","doi":"10.1109/JSEN.2025.3538865","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538865","url":null,"abstract":"This report studied the p-type reduced graphene oxide (rGO) nanoparticles/n-type zinc oxide (ZnO) nanorods heterostructured sensing membranes of nitrogen dioxide (NO2) gas sensors grown by the hydrothermal synthesis method with various graphene oxide contents. To enhance the effective sensing area, the roughened hill-like ZnO seed layer was formed to grow more amount of ZnO nanorods. The as-synthesized sensing membranes were characterized by scanning electron microscope (SEM), high-resolution transmission electron microscope (HR-TEM), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and energy dispersive spectroscopy (EDS). To improve the sensing performances of NO2 gas sensors, the oxygen functional group existed in the graphene oxide nanoparticles was reduced using an annealing process in a hydrogen ambient at <inline-formula> <tex-math>$400~^{circ }$ </tex-math></inline-formula>C for 4 min. The resulting rGO nanoparticles had less amount of oxygen functional group and provided more amount of molecular adsorption sites. By investigating the influence of the diameter of ZnO nanorods and the heterostructured area of rGO nanoparticles/ZnO nanorods, the response of 8.93 and the optimal operating temperature of <inline-formula> <tex-math>$135~^{circ }$ </tex-math></inline-formula>C were achieved for the NO2 gas sensors grown with the graphene oxide content of 10 mg/mL. Furthermore, a very low NO2 concentration of 500 ppb could be detected.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"9393-9400"},"PeriodicalIF":4.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast-Response Temperature Sensing Using Dual-Wavelength Differential Cross Multiplication for Interrogating Fiber-Optic Fabry–Pérot Interferometers

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-17 DOI: 10.1109/JSEN.2025.3531949

Chenxu Lu;Ziwei Chen;Dianting Zeng;Jian Lin;Chi Wu

{"title":"Fast-Response Temperature Sensing Using Dual-Wavelength Differential Cross Multiplication for Interrogating Fiber-Optic Fabry–Pérot Interferometers","authors":"Chenxu Lu;Ziwei Chen;Dianting Zeng;Jian Lin;Chi Wu","doi":"10.1109/JSEN.2025.3531949","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3531949","url":null,"abstract":"This article proposes a novel demodulation approach for fast measurement of seawater temperature, utilizing the dual-wavelength differential cross-multiplication (DWDCM) algorithm. The system employs a silicon cavity-based Fabry–Pérot interferometer (FPI) as the temperature sensing element, demonstrating the effectiveness of DWDCM demodulation for high-frequency temperature monitoring. A theoretical analysis was conducted to optimize the selection of two laser wavelengths used in the DWDCM system, ensuring compatibility with the seawater temperature measurement range and laser wavelength shift tolerance. Experimental results demonstrate that the FPI temperature sensor exhibits high-temperature accuracy and fast response. The maximum positive and negative temperature difference between the FPI sensor and the high-precision platinum resistance thermometer (PRT) are 0.0046 °C and −0.0036 °C, respectively, with a rapid response time constant of 6.0 ms. These results underscore the sensor’s capability for precise monitoring of dynamic temperature variations with high temporal resolution, while also offering the advantages of reduced data storage requirements and simplified data processing. This is particularly beneficial for long-term oceanic turbulent temperature measurements on mobile marine platforms, such as autonomous underwater vehicles (AUVs) and profiling floats.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"9633-9640"},"PeriodicalIF":4.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Sensors Council

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-14 DOI: 10.1109/JSEN.2025.3538421

引用次数: 0

Temperature Sensitivity of Vertical Ga₂O₃ Junction Barrier Schottky Diode Using the p-NiO/n-Ga₂O₃ Heterojunction

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-13 DOI: 10.1109/JSEN.2025.3539531

Liang He;Enliang Li;Xiaoyue Duan;Mowen Zhang;Teng Ma;Hongyue Wang;Chao Li;Yuan Chen;Yiqiang Chen;Liuan Li

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MCLL-Diff: Multiconditional Low-Light Image Enhancement Based on Diffusion Probabilistic Models

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-13 DOI: 10.1109/JSEN.2025.3534566

Fengxin Chen;Ye Yu;Jun Yi;Ting Zhang;Ji Zhao;Wei Jia;Jun Yu

{"title":"MCLL-Diff: Multiconditional Low-Light Image Enhancement Based on Diffusion Probabilistic Models","authors":"Fengxin Chen;Ye Yu;Jun Yi;Ting Zhang;Ji Zhao;Wei Jia;Jun Yu","doi":"10.1109/JSEN.2025.3534566","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3534566","url":null,"abstract":"Due to the inherent limitations of camera sensors in capturing adequate light under low-light conditions, images often suffer from various degradation issues, such as illumination imbalances, artifacts, and noise. While generative model-based methods have made remarkable progress in low-light image enhancement (LLIE), they still face challenges such as unstable training and inconsistent generation quality. To address these challenges, we introduce MCLL-Diff, a novel multiconditional LLIE method based on diffusion probabilistic model (DPM). MCLL-Diff retains the forward process of DPM but introduces a unique multiconditional noise predictor (MCNP) in the reverse process. We first propose a learnable operator module (LOM) to enrich the prior knowledge incorporated in the reverse process. Then, we use MCNP to effectively integrate prior knowledge, low-light images, intermediate variables, and time steps to accurately predict noise. To validate the effectiveness of MCLL-Diff in high-level computer vision tasks, we construct a large-scale nighttime vehicle model (NVM) dataset from real-world nighttime street scenarios. Extensive experiments on benchmark datasets demonstrate MCLL-Diff’s superiority in both generalization performance and visual quality. Specifically, we achieved a significant improvement of 0.1 dB in peak signal-to-noise ratio (PSNR) metric on the VE-LOL dataset, and a notable increase of 0.76% in Top-1 accuracy when applied to object recognition on the NVM dataset.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"9912-9924"},"PeriodicalIF":4.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

2024 Index IEEE Sensors Journal Vol. 24

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-13 DOI: 10.1109/JSEN.2025.3541950

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Effective Liquid-Filled Leaky-Guided Fiber Mach-Zehnder Interferometer With a Side-Polished Fiber

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-11 DOI: 10.1109/JSEN.2025.3538788

Cheng-Ling Lee;Chun-Yu Yeh;Yu-Xin Jiang

{"title":"Effective Liquid-Filled Leaky-Guided Fiber Mach-Zehnder Interferometer With a Side-Polished Fiber","authors":"Cheng-Ling Lee;Chun-Yu Yeh;Yu-Xin Jiang","doi":"10.1109/JSEN.2025.3538788","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538788","url":null,"abstract":"We first propose an effective liquid-filled leaky-guided fiber Mach-Zehnder interferometer (LGFMZI) utilizing a side-polished fiber (SPF) for high-sensitivity liquid material sensing. The structure features a side-polished single-mode fiber (SMF) sequentially spliced to large-core (HCF1) and small-core hollow-core fibers (HCF2), with a terminal SMF segment. The SPF, connected to HCF1, forms a microslit that facilitates effective liquid injection into HCF2. In the design, the refractive index (RI) of the liquid (<inline-formula> <tex-math>${n}_{{1}}$ </tex-math></inline-formula>), being lower than that of the silica cladding (<inline-formula> <tex-math>${n}_{{2}}$ </tex-math></inline-formula>), induces a leaky-guided (LG) fiber waveguide in the tiny HCF2 section, enabling the core and cladding modes generation. HCF1 functions as a beam splitter, expanding the light into the core of HCF2 and cladding to balance their intensities, thereby enhancing the interference extinction ratio (ER). Experimental results demonstrate that high sensitivity of 11.93 nm/°C and an ER exceeding 30 dB with a tunable free spectral range (FSR) of interference spectra are achieved by adjusting the lengths of HCF1 and HCF2. Furthermore, the interference spectra exhibit a linear thermal response across an ultrawide wavelength range (1250–1650 nm), offering significant advantages for sensing applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"9681-9688"},"PeriodicalIF":4.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics-Informed Convolutional Transposed Neural Network for 2-D Reconstruction of Hypersonic Plasma Wakes

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-11 DOI: 10.1109/JSEN.2025.3538625

Jiachen Tong;Haiying Li;Bin Xu;Yu Shi

{"title":"Physics-Informed Convolutional Transposed Neural Network for 2-D Reconstruction of Hypersonic Plasma Wakes","authors":"Jiachen Tong;Haiying Li;Bin Xu;Yu Shi","doi":"10.1109/JSEN.2025.3538625","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538625","url":null,"abstract":"Deep learning technologies have been widely used in fluid data processing to reconstruct various flow fields. However, due to the complex particle dynamics, relying exclusively on data-driven methods lacks reflection of physical mechanisms. In this article, an electron density reconstruction model of sensor data based on a physics-informed convolutional transposed neural network (PICTNN) is proposed. Employing the continuity equation of plasmas, a physics-informed loss function is constructed to enhance model stability during training through logarithmic maximum normalization. As a validation of the method, based on the density dataset of wakes obtained using the computational fluid dynamics method, the 2-D reconstruction of plasma wakes under different Mach numbers and angles of attack (AOAs) is tested. The results demonstrate excellent preservation of physical features, with Pearson correlation coefficients between the reconstructed data and the computational fluid dynamics simulations reaching up to 0.95. Additionally, this model has been successfully applied to reconstruct 2-D wake distributions from 1-D measurement data. The wake electron density reconstruction model may enhance the effective use of experimental data and extend the measurement capabilities of hypersonic wake devices, offering significant engineering implications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"10079-10086"},"PeriodicalIF":4.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Converging and Controllable Structure- Aware Clutter Suppression Method for Airborne Polarimetric Array Radar 机载偏振阵列雷达的快速收敛和可控结构感知杂波抑制方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-11 DOI: 10.1109/JSEN.2025.3538793

Yalong Wang;Jiaheng Wang;Xuejing Zhang;Jun Li;Zishu He

{"title":"Fast Converging and Controllable Structure- Aware Clutter Suppression Method for Airborne Polarimetric Array Radar","authors":"Yalong Wang;Jiaheng Wang;Xuejing Zhang;Jun Li;Zishu He","doi":"10.1109/JSEN.2025.3538793","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538793","url":null,"abstract":"Polarimetric space-time adaptive processing (PSTAP) significantly enhances the ability to detect low-speed targets for airborne early warning radar. However, incorporating diverse polarization sensor data poses challenges: it expands the snapshot dimension and increases clutter heterogeneity. Therefore, the performance of PSTAP may suffer due to the inaccurate estimation of the clutter-plus-noise covariance matrix (CNCM) with finite samples. Leveraging the Kronecker product structure of clutter, statistical framework-based Kronecker estimators can reduce sample requirements while maintaining the clutter suppression performance. But for low-speed target detection, we theoretically illustrate the limitations of this type of estimator. While sparse recovery (SR) space-time adaptive processing (STAP) methods can achieve satisfactory CNCM estimation with very few samples, they cannot be directly applied to PSTAP. In this article, we propose a structure-aware (SAW) sparse Bayesian learning (SBL) algorithm for PSTAP, named SAW-SBL PSTAP. By exploiting the independence between the polarization domain and the space-time domain, along with the intrinsic sparsity of clutter in the angle-Doppler plane, we model a block SR problem and develop a fast and controllable learning framework. This framework alternately updates the noise power, polarization covariance matrix, and clutter space-time power, resulting in precise CNCM estimation. Both simulated and measured data experiments verify the effectiveness and robustness of the proposed method, particularly in enhancing detection performance for low-speed targets.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 6","pages":"10097-10111"},"PeriodicalIF":4.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0